Low-Power Ternary Bipolar Memristor of Naturally Oxidized Porous Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub> MXene Flakes
Bibliographic record
Abstract
Abstract The multilevel characteristic of a single memristor cell offers a promising alternative to using multiple FETs for the same data storage capacity. Ti3C2Tx MXene, with its atomically thin structure and tunable surface-dependent electronic properties, is a strong candidate for multifunctional electronic materials and devices. However, the high conductivity of as-prepared Ti3C2Tx flakes limits their use in active electronic devices. Here, we present naturally oxidized porous Ti3C2Tx MXene flakes as promising materials for ion-based resistive switching memory (RSM) applications. The fabricated devices exhibit reproducible ternary memory behavior with low operating voltage, stable retention, and robust performance. We suggest that the drift of oxygen ions and the formation of metallic filaments in oxidized porous Ti3C2Tx are responsible for observed resistive switching. Our findings demonstrate that oxidized porous Ti3C2Tx MXene can be an alternative to traditional resistive switching materials and enhance multilevel memory technology.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".